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Article Navigation >  Green Energy&Environment  > 2017  >  2(4): 387-392
Xuan Wu, Jie Xu, George Y. Chen, Rong Fan, Xiaokong Liu, Haolan Xu. Harvesting, sensing and regulating light based on photo-thermal effect of Cu@CuO mesh. Green Energy&Environment, 2017, 2(4): 387-392. doi: 10.1016/j.gee.2017.02.002
Citation: Xuan Wu, Jie Xu, George Y. Chen, Rong Fan, Xiaokong Liu, Haolan Xu. Harvesting, sensing and regulating light based on photo-thermal effect of Cu@CuO mesh. Green Energy&Environment, 2017, 2(4): 387-392. doi: 10.1016/j.gee.2017.02.002
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Harvesting, sensing and regulating light based on photo-thermal effect of Cu@CuO mesh

doi: 10.1016/j.gee.2017.02.002
  • a.

    Future Industries Institute, University of South Australia, Mawson Lakes Campus, SA 5095, Australia

  • b.

    Laser Physics and Photonic Devices Laboratories, School of Engineering, University of South Australia, Mawson Lakes Campus, SA 5095, Australia

  • c.

    School of Natural and Built Environments, University of South Australia, Mawson Lakes Campus, SA 5095, Australia

More Information
  • Corresponding author: E-mail address: george.chen@unisa.edu.au (George Y. Chen); E-mail address: haolan.xu@unisa.edu.au (Haolan Xu)
  • Received date 05 January 2017, Accepted date 06 February 2017, RevRecd date 30 January 2017, Available online 09 February 2017, Publish date 31 October 2017,
    Abstract
  • A system of light harvesting, sensing and regulating was designed based on the photo-thermal and Seebeck effect of flexible CuO nanostructures. Cu@CuO meshes were prepared via self-oxidation of Cu mesh and utilized as the photo-thermal material. Upon irradiation by visible light, the temperature of the Cu@CuO mesh dramatically increases. The temperature difference between the irradiated and non-irradiated parts of the Cu@CuO mesh produced a measurable voltage output due to the Seebeck effect. The generated voltage was then converted into a digital signal to control a rotary neutral-density disc to filter the received light. This enabled regulation of the intensity of the incident light at a selected region. This system is cost effective and has potential applications in greenhouses, factories and smart buildings to minimize energy consumption and improve wellbeing.

     

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